Arman Malekloo

1.0k citations
7 papers · 706 · 1 hit paper · h-index 6

Impact in

Papers in

Arman Malekloo

6 papers receiving 680 citations

Arman Malekloo's Hit Papers

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights 2021 · 379 citations
3790+1+3Years since publication100200300

Peers

Arman Malekloo
Comparison fields: 5 of 91
  • Civil and Structural Engineering 281
  • Building and Construction 172
  • Media Technology 72
  • Automotive Engineering 60
  • Computer Networks and Communications 94
Replace Guiping Wang with:
Guiping Wang China
Kay Smarsly Germany
Shengchuan Jiang China
Yishun Li China
Yong Peng China
Kongyang Chen China
Binbin Li China
Rui Hou United States
Siyun Chen China
Peng Dai China
Arman Malekloo relative to Guiping Wang China Guiping Wang's profile →
Citations per field
00.5×3.6×
Guiping Wang · 1×
Citations per year

Countries citing papers authored by Arman Malekloo

Since Specialization
Citations

This map shows the geographic impact of Arman Malekloo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arman Malekloo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arman Malekloo more than expected).

Fields of papers citing papers by Arman Malekloo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arman Malekloo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arman Malekloo. The network helps show where Arman Malekloo may publish in the future.

Co-authors

The 8 scholars most cited alongside Arman Malekloo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arman Malekloo Line = papers co-authored together Arman Malekloo links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Hit paper breakdown →
2021379
2 2019228
3 201976
4 202210
5 20247
6 20226
7 20260

About Arman Malekloo

Arman Malekloo is a scholar working on Civil and Structural Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Ocean Engineering and Geophysics, having authored 7 papers that have together received 706 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (3 papers), Structural Health Monitoring Techniques (2 papers), Seismic Performance and Analysis (2 papers), Asphalt Pavement Performance Evaluation (1 paper), Infrastructure Resilience and Vulnerability Analysis (1 paper), Smart Parking Systems Research (1 paper), IoT and Edge/Fog Computing (1 paper) and Geophysical Methods and Applications (1 paper). The work is most often cited by research in Civil and Structural Engineering (281 citations), Building and Construction (172 citations), Media Technology (72 citations), Automotive Engineering (60 citations) and Computer Networks and Communications (94 citations). Arman Malekloo has collaborated with scholars based in Türkiye, United States and Ireland. Frequent co-authors include Fadi Al‐Turjman, Ekin Özer, Mohammad AlHamaydeh, Mark Girolami, Mohammad Abujubbeh, Leonardo Mostarda, Xuan Di and Xiaoyue Cathy Liu. Their work appears in journals such as Computer-Aided Civil and Infrastructure Engineering, Structural Health Monitoring, Transportation Research Part D Transport and Environment, Computer Communications and Sustainable Cities and Society.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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